Identification of Hammerstein models with general disturbances

The Hammerstein model is a linear dynamic system following some static nonlinearities. These components of this model are estimated through minimizing the error between simulation outputs and measurement outputs in this paper. For the special case of White Gaussian input signals, parameters of Hammerstein models are estimated by the Bussgang's classic theorem. For the case of input signals of general disturbances, the Maximum Likelihood method is proposed for the estimation of parameters.